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https://github.com/open-thought/reasoning-gym.git
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122 lines
4.2 KiB
Python
122 lines
4.2 KiB
Python
import random
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import pytest
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from reasoning_gym.arc.arc_1d_tasks import (
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task_block_and_noise_remove,
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task_block_and_noise_remove_inside,
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task_block_scale_to_dot,
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task_block_touch_dot,
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task_block_touch_dot_n_pix,
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task_change_to_five,
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task_color_left_half_blocks,
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task_copy_block_to_dots,
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task_copy_block_to_dots_colors,
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task_duplicate_block_from_seeds,
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task_fill_from_pixel,
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task_fill_until_collision,
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task_gravity,
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task_gravity_antigravity,
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task_gravity_counting,
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task_gravity_one_step,
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task_gravity_weighted_colors,
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task_identity,
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task_inverse,
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task_mark_size_two_blocks,
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task_mirror,
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task_move_block_by_own_size,
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task_move_n_pix,
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task_move_n_pix_wrapped,
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task_paint_biggest_block,
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task_recolor_blocks_by_size,
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task_recolor_blocks_from_palette,
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task_reflect_block_around_dot,
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task_reflect_block_with_border_pixel,
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task_reflect_block_with_border_pixel_random,
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task_repeat_pattern_full,
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task_sort_blocks_by_size,
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task_sort_complete_sequence,
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task_two_points_and_fill,
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)
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def test_all_arc_1d_tasks():
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"""Test that all ARC 1D task functions can be executed without exceptions."""
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rng = random.Random(42) # Fixed seed for reproducibility
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size = 20 # Reasonable size for testing
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# Test all task functions
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# Fixed move_pix value for testing
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move_pix = 2
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# Test task augmentation functions
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base_task = task_move_n_pix(rng, size, move_pix, True)
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assert base_task is not None
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mirrored = task_mirror(base_task)
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assert mirrored is not None
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assert mirrored["input"] == list(reversed(base_task["input"]))
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assert mirrored["output"] == list(reversed(base_task["output"]))
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inversed = task_inverse(base_task)
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assert inversed is not None
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assert inversed["input"] == base_task["output"]
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assert inversed["output"] == base_task["input"]
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identical = task_identity(base_task)
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assert identical is not None
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assert identical == base_task
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tasks = [
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(task_move_n_pix, {"move_pix": move_pix, "solid": True}),
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(task_move_n_pix_wrapped, {"move_pix": move_pix, "solid": True}),
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(task_gravity, {}),
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(task_gravity_counting, {}),
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(task_gravity_antigravity, {}),
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(task_block_touch_dot, {}),
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(task_block_touch_dot_n_pix, {"move_pix": move_pix}),
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(task_block_scale_to_dot, {}),
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(task_two_points_and_fill, {}),
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(task_reflect_block_with_border_pixel, {}),
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(task_reflect_block_with_border_pixel_random, {}),
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(task_reflect_block_around_dot, {}),
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(task_block_and_noise_remove, {}),
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(task_block_and_noise_remove_inside, {}),
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(task_copy_block_to_dots, {}),
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(task_copy_block_to_dots_colors, {}),
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(task_paint_biggest_block, {}),
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(task_sort_blocks_by_size, {}),
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(task_sort_complete_sequence, {}),
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(task_recolor_blocks_by_size, {}),
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(task_gravity_one_step, {}),
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(task_move_block_by_own_size, {}),
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(task_change_to_five, {}),
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(task_recolor_blocks_from_palette, {}),
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(task_duplicate_block_from_seeds, {}),
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(task_fill_from_pixel, {}),
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(task_mark_size_two_blocks, {}),
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(task_fill_until_collision, {}),
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(task_repeat_pattern_full, {}),
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(task_gravity_weighted_colors, {}),
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(task_color_left_half_blocks, {}),
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]
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for task_func, kwargs in tasks:
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# Try multiple times as some functions might return None for certain inputs
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success = False
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for _ in range(10): # Try up to 10 times
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try:
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result = task_func(rng, size, **kwargs)
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if result is not None:
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success = True
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# Basic structure checks
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assert isinstance(result, dict)
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assert "input" in result
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assert "output" in result
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assert len(result["input"]) == size
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assert len(result["output"]) == size
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break
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except Exception as e:
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pytest.fail(f"Task {task_func.__name__} failed with error: {str(e)}")
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assert success, f"Task {task_func.__name__} always returned None in 10 attempts"
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